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BIT PhD Program Overview

The Business Information Technology (BIT) PhD program at Virginia Tech is a highly innovative and interdisciplinary program that prepares students to become leading faculty members in top-tier research universities. The program's STEM-based curriculum fuses operations management, supply chain management, management information systems, information systems, artificial intelligence, business analytics, decision science, and information technology. This allows students to produce cutting-edge, transdisciplinary research that appears in the most elite of journals, on which our faculty serve as editors and routinely publish in high volume—including but not limited to: Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management, Journal of Management Information Systems, Journal of Operations Management, Journal of the Association for Information Systems, Manufacturing & Service Operations Management, Decision Support Systems, Decision Sciences, INFORMS Journal on Computing, Computers & Security, Computers and Human Behavior, and others.

The faculty in the Business Information Technology (BIT) PhD program at Virginia Tech is consistently ranked in the top 25 in the world in all major research productivity rankings. Two of our faculty members are perennially ranked in the top 5 in the world across all forms of research rankings, and several others are also highly ranked and rising. The program is further supported by the exceptional success of the BIT department, which annually attracts over 1,500 full-time undergraduate students to its immensely popular and successful programs.

Moreover, we are supported by facilities and resources that are not typically found even at the most elite business schools. In fact, we are the only leading business school with our own massive 100,000-square-foot Decision & Data Sciences building (part of the Global Business and Analytics Campus), which houses the BIT PhD program and its faculty. In this building, we collaborate with leading computer science, statistics, and data science faculty and their PhD students, facilitating true interdisciplinary opportunities.

If you have any questions about our program or the application process, please contact us at